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  • EngiTek
  • EngiTek 2020
  • 47.Cnf-1135
EngiTek Congresses with Published Papers
EngiTek 2020, Irbid
8
Papers Published at EngiTek 2020
All 8 Papers
IDAuthors and TitlePages
51.Cnf-17 Mr. Ameer Mubaslat
Mr. Ahmad Al Haj
Prof. Saud Khashan
Simulation assisted leak detection in pressurized systems using machine learning
1-6
51.Cnf-1062 Dr. Aqeed M. Chyad
Dr. Osama Abudayyeh
Dr. Maha Alkasisbeh
A Nonlinear Regression-Based Machine Learning Model for Predicting Concrete Bridge Deck Condition
7-11
47.Cnf-1071 Dr. Mohammad M. Banat
Mr. Ahmed Al-Shwmi
Detailed Simplified Implementation of Filter Bank Multicarrier Modulation Using Sub-Channel Prototype Filters
12-18
47.Cnf-1097 Dr. Mohammad M. Banat
Mrs. Haifaa Elayyan
Academic Rewards Coin (ARC) Concept: Mining Academic Contribution Into Bitcoin
19-27
47.Cnf-1098 Mr. Chris Matrakidis
Dr. Dimitris Uzunidis
Alexandros Stavdas
Prof. Gerasimos Pagiatakis
Analytical modeling of dispersion penalty for NRZ transmission
28-32
47.Cnf-1099 Dr. Dimitris Uzunidis
Mr. Chris Matrakidis
Alexandros Stavdas
Prof. Gerasimos Pagiatakis
On the Attainable Transparent Length of Multi-Band Optical Systems Employing Rare – Earth Doped Fiber Amplifiers
33-38
47.Cnf-1101 Mr. Georgios D. Kolezas
Dr. Grigorios Zouros
Prof. Gerasimos Pagiatakis
Complex Magnetic and Electric Dipolar Resonances of Subwavelength GaAs Prolate Spheroids
39-42
51.Cnf-1104 Dr. Rafat Al-Waked
Underground Car Park - Mechanical Ventilation
43-48
47.Cnf-1135 Paper View Page
Title Image based microfluidic mixing evaluation technique
Authors Dr. Ruba Khnouf, Jordan University of Science and Technology, Irbid, Jordan
Dr. Areen Al-Bashir, Jordan University of Science and Technology, Irbid, Jordan
Ms. Ala'a Migdade, Jordan University of Science and Technology, Irbid, Jordan
Ms. Esraa Alshawwa, Jordan University of Science and Technology, Irbid, Jordan
Mrs. Arwa Faisal Mohammed Sheyab, Yarmouk University, Irbid, Jordan
Abstract Micromixers are considered an integral part in biomedical microfluidic applications because of important chemical and biological processes that require rapid and efficient mixing. In this work, flow regimes in throttle-T and square wave type micromixers are studied. The dependence of mixing efficiency on the geometry design is examined. Passive mixing methods with different flow rates at the inlets are studied experimentally using an imaging based technique. Moreover, a finite element model is used in order to study the mixing process of species in 500 µm and 400 µm - wide throttle and square wave microchannels, respectively. The results illustrated the effects of both flow rate and channel geometry on the mixing efficiency. Experimental studies at different flow rates are reported showing the same mixing tendency.
Track BME: Biomedical Engineering
Conference 1st International Conference on Electrical Engineering and Technologies (ElectriTek 2020)
Congress International Congress on Engineering Technologies (EngiTek 2020), 16-18 June 2020, Irbid, Jordan
Pages --1
Topics BioMEMS and Microfluidics
Biomedical Signal Processing
ISSN 2227-331X
DOI
BibTeX @inproceedings{1135EngiTek2020,
title={Image based microfluidic mixing evaluation technique},
author={Ruba Khnouf, and Areen Al-Bashir, and Ala'a Migdade, and Esraa Alshawwa, and Arwa Faisal Mohammed Sheyab},
booktitle={International Congress on Engineering Technologies (EngiTek 2020)},
year={2020},
pages={--1},
doi={}},
organization={Mosharaka for Research and Studies} }
Paper Views 79 Paper Views Rank 63/524
Paper Downloads 34 Paper Downloads Rank 67/524
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